Data Engineering Team Lead

4 weeks ago

Old Toronto, Ontario, Canada Electronic Arts Inc. Full time
Job Title: Engineering Technical Coordinator

As a key member of our Product Engineering team at Electronic Arts Inc., you will play a crucial role in developing high-scale central data products that align with our strategic goals. Your expertise will be instrumental in guiding technical execution, setting the strategic direction for engineering projects, and collaborating with cross-functional teams to understand and address complex data requirements.

Key Responsibilities:
  • Develop and implement the technical strategy for data engineering projects, ensuring alignment with broader organisational goals.
  • Oversee the end-to-end development of central data engineering projects, from conception to maintenance, ensuring high-quality, scalable, and efficient data solutions.
  • Manage project resources, timelines, and budgets to maximise team productivity and project success in partnership with our Development Directors team.
  • Provide expert technical guidance on data pipelines, workflows, query designs, standards, and code to support large-scale data processing.
  • Partner with Data Governance and Quality Engineering teams to implement data quality checks, Unit Testing, and maintain high data standards.
  • Establish coding standards, best practices, and architectural guidelines for the data engineering team.
  • Conduct and oversee code reviews, focusing on scalability, performance, and adherence to engineering best practices.
  • Promote the use of version control systems, CI/CD pipelines, and other tools to maintain a high-quality, maintainable codebase.
  • Identify opportunities for process improvements and lead projects to enhance team efficiency and productivity.
  • Improve the adoption and configuration of job scheduling tools like Airflow and GitLab to improve data workflows.
  • Lead efforts to automate manual processes and improve data delivery mechanisms.
  • Oversee the creation and maintenance of comprehensive technical documentation, including data dictionaries, data flow diagrams, and engineering specifications.
  • Stay up to date with the latest technologies and trends in data engineering, evaluating their potential application.
Requirements:
  • 10+ years of experience in data engineering, with experience leading complex data-specific projects.
  • Experience managing technical teams.
  • Expertise in data pipeline development, ETL processes, data quality, and cloud data technologies (Snowflake, Google Cloud).
  • Proficiency in Python and DBT Core.
  • Experience with data modeling, database design, and query optimisation techniques.
  • Experience communicating updates and resolutions to customers and other partners, with the ability to translate technical concepts to non-technical partners.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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